{"nbformat":4,"nbformat_minor":0,"metadata":{"colab":{"provenance":[],"gpuType":"T4","mount_file_id":"1UXcTcfk0D2lO57Ur32jLFATf2e80CCWX","authorship_tag":"ABX9TyNKDROORfv59tIDOz0N46sd"},"kernelspec":{"name":"python3","display_name":"Python 3"},"language_info":{"name":"python"},"accelerator":"GPU"},"cells":[{"cell_type":"code","source":["import torch\n","import torch.nn as nn\n","import torch.nn.functional as F\n","import torch.optim as optim\n","from torchvision import datasets, transforms\n","import matplotlib.pyplot as plt\n","import numpy"],"metadata":{"id":"CBARXs1oT3ID","executionInfo":{"status":"ok","timestamp":1724152644947,"user_tz":-480,"elapsed":10722,"user":{"displayName":"宫传政","userId":"05088447437342862356"}}},"execution_count":2,"outputs":[]},{"cell_type":"code","source":["def get_n_params(model):\n","    np=0\n","    for p in list(model.parameters()):\n","        np += p.nelement()  #每个参数中元素的总数\n","    return np\n","\n","device = torch.device(\"cuda:0\" if torch.cuda.is_available() else \"cpu\")"],"metadata":{"id":"AiEKHx8UUF6p","executionInfo":{"status":"ok","timestamp":1724152648244,"user_tz":-480,"elapsed":392,"user":{"displayName":"宫传政","userId":"05088447437342862356"}}},"execution_count":3,"outputs":[]},{"cell_type":"code","source":["input_size  = 28*28   # MNIST上的图像尺寸是28x28\n","output_size = 10      # 类别为0到9的数字，因此为十类\n","\n","# 加载训练数据，对数据进行变换（转换为张量并标准化），64张图为一个batch\n","train_loader = torch.utils.data.DataLoader(\n","    datasets.MNIST('./data', train=True, download=True,\n","        transform=transforms.Compose(\n","            [transforms.ToTensor(),\n","             transforms.Normalize((0.1307,), (0.3081,))])),\n","    batch_size=64, shuffle=True)\n","\n","\n","test_loader = torch.utils.data.DataLoader(\n","    datasets.MNIST('./data', train=False, transform=transforms.Compose([\n","             transforms.ToTensor(),\n","             transforms.Normalize((0.1307,), (0.3081,))])),\n","    batch_size=1000, shuffle=True)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"60MJL-MaVMGg","executionInfo":{"status":"ok","timestamp":1689771002538,"user_tz":-480,"elapsed":975,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"dd5cd936-66c6-46b0-86a6-d2645f940c02"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz\n","Downloading http://yann.lecun.com/exdb/mnist/train-images-idx3-ubyte.gz to ./data/MNIST/raw/train-images-idx3-ubyte.gz\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 9912422/9912422 [00:00<00:00, 129973650.09it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Extracting ./data/MNIST/raw/train-images-idx3-ubyte.gz to ./data/MNIST/raw\n","\n","Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz\n","Downloading http://yann.lecun.com/exdb/mnist/train-labels-idx1-ubyte.gz to ./data/MNIST/raw/train-labels-idx1-ubyte.gz\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 28881/28881 [00:00<00:00, 111440380.70it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Extracting ./data/MNIST/raw/train-labels-idx1-ubyte.gz to ./data/MNIST/raw\n","\n","Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz\n","Downloading http://yann.lecun.com/exdb/mnist/t10k-images-idx3-ubyte.gz to ./data/MNIST/raw/t10k-images-idx3-ubyte.gz\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 1648877/1648877 [00:00<00:00, 43884787.28it/s]"]},{"output_type":"stream","name":"stdout","text":["Extracting ./data/MNIST/raw/t10k-images-idx3-ubyte.gz to ./data/MNIST/raw\n"]},{"output_type":"stream","name":"stderr","text":["\n"]},{"output_type":"stream","name":"stdout","text":["\n","Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz\n","Downloading http://yann.lecun.com/exdb/mnist/t10k-labels-idx1-ubyte.gz to ./data/MNIST/raw/t10k-labels-idx1-ubyte.gz\n"]},{"output_type":"stream","name":"stderr","text":["100%|██████████| 4542/4542 [00:00<00:00, 6100073.25it/s]\n"]},{"output_type":"stream","name":"stdout","text":["Extracting ./data/MNIST/raw/t10k-labels-idx1-ubyte.gz to ./data/MNIST/raw\n","\n"]}]},{"cell_type":"code","source":["plt.figure(figsize=(8, 5))\n","# 对图像进行展示4行5列\n","for i in range(20):\n","    plt.subplot(4, 5, i + 1)\n","    image, _ = train_loader.dataset.__getitem__(i)\n","    plt.imshow(image.squeeze().numpy(),'gray')\n","    plt.axis('off');"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":422},"id":"5pa_3U1VXqeH","executionInfo":{"status":"ok","timestamp":1689771003504,"user_tz":-480,"elapsed":969,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"1abdb04a-813a-4b9e-8ee4-574428efb1f2"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x500 with 20 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["class FC2Layer(nn.Module):\n","    def __init__(self, input_size, n_hidden, output_size):\n","        # nn.Module子类的函数必须在构造函数中执行父类的构造函数\n","        # 下式等价于nn.Module.__init__(self)\n","        super(FC2Layer, self).__init__()\n","        self.input_size = input_size\n","        # 这里直接用 Sequential 就定义了网络，注意要和下面 CNN 的代码区分开\n","        self.network = nn.Sequential(\n","            nn.Linear(input_size, n_hidden),\n","            nn.ReLU(),\n","            nn.Linear(n_hidden, n_hidden),\n","            nn.ReLU(),\n","            nn.Linear(n_hidden, output_size),\n","            nn.LogSoftmax(dim=1)\n","        )\n","    def forward(self, x):\n","        # view一般出现在model类的forward函数中，用于改变输入或输出的形状\n","        # x.view(-1, self.input_size) 的意思是多维的数据展成二维\n","        # 代码指定二维数据的列数为 input_size=784，行数 -1 表示我们不想算，电脑会自己计算对应的数字\n","        #x.size=[batch_size,1,28,28]\n","        x = x.view(-1, self.input_size) #[batch_size,784]\n","        return self.network(x)\n"],"metadata":{"id":"R1Dv_OJ2Ykbh"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["class CNN(nn.Module):\n","    def __init__(self, input_size, n_feature, output_size):\n","        # 执行父类的构造函数，所有的网络都要这么写\n","        super(CNN, self).__init__()\n","        # 下面是网络里典型结构的一些定义，一般就是卷积和全连接\n","        # 池化、ReLU一类的不用在这里定义\n","        self.n_feature = n_feature\n","        self.conv1 = nn.Conv2d(in_channels=1, out_channels=n_feature, kernel_size=5)\n","        self.conv2 = nn.Conv2d(n_feature, n_feature, kernel_size=5)\n","        self.fc1 = nn.Linear(n_feature*4*4, 50)\n","        self.fc2 = nn.Linear(50, 10)\n","\n","    # 下面的 forward 函数，定义了网络的结构，按照一定顺序，把上面构建的一些结构组织起来\n","    # 意思就是，conv1, conv2 等等的，可以多次重用\n","    def forward(self, x, verbose=False):\n","        x = self.conv1(x)\n","        x = F.relu(x)\n","        x = F.max_pool2d(x, kernel_size=2)\n","        x = self.conv2(x)\n","        x = F.relu(x)\n","        x = F.max_pool2d(x, kernel_size=2)\n","        x = x.view(-1, self.n_feature*4*4)\n","        x = self.fc1(x)\n","        x = F.relu(x)\n","        x = self.fc2(x)\n","        x = F.log_softmax(x, dim=1)\n","        return x"],"metadata":{"id":"OoXIfuUFhbA1"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["# 训练函数\n","def train(model):\n","    model.train()\n","    # 主里从train_loader里，64个样本一个batch为单位提取样本进行训练\n","    for batch_idx, (data, target) in enumerate(train_loader):\n","        # 把数据送到GPU中\n","        data, target = data.to(device), target.to(device)\n","\n","        optimizer.zero_grad()\n","        output = model(data)\n","        loss = F.nll_loss(output, target)\n","        loss.backward()\n","        optimizer.step()\n","        if batch_idx % 100 == 0:\n","            print('Train: [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n","                batch_idx * len(data), len(train_loader.dataset),\n","                100. * batch_idx / len(train_loader), loss.item()))\n","def test(model):\n","    model.eval()\n","    test_loss = 0\n","    correct = 0\n","    for data, target in test_loader:\n","        # 把数据送到GPU中\n","        data, target = data.to(device), target.to(device)\n","        # 把数据送入模型，得到预测结果\n","        output = model(data)\n","        # 计算本次batch的损失，并加到 test_loss 中\n","        test_loss += F.nll_loss(output, target, reduction='sum').item()\n","        # get the index of the max log-probability，最后一层输出10个数，\n","        # 值最大的那个即对应着分类结果，然后把分类结果保存在 pred 里\n","        pred = output.data.max(1, keepdim=True)[1]\n","        # 将 pred 与 target 相比，得到正确预测结果的数量，并加到 correct 中\n","        # 这里需要注意一下 view_as ，意思是把 target 变成维度和 pred 一样的意思\n","        correct += pred.eq(target.data.view_as(pred)).cpu().sum().item()\n","\n","    test_loss /= len(test_loader.dataset)\n","    accuracy = 100. * correct / len(test_loader.dataset)\n","    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n","        test_loss, correct, len(test_loader.dataset),\n","        accuracy))\n"],"metadata":{"id":"cyytLYKzjWju"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["n_hidden = 8 # number of hidden units\n","\n","model_fnn = FC2Layer(input_size, n_hidden, output_size)\n","model_fnn.to(device)\n","optimizer = optim.SGD(model_fnn.parameters(), lr=0.01, momentum=0.5)\n","print('Number of parameters: {}'.format(get_n_params(model_fnn)))\n","\n","train(model_fnn)\n","test(model_fnn)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"pS16lCKSMhhy","executionInfo":{"status":"ok","timestamp":1689771029870,"user_tz":-480,"elapsed":26372,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"4bdd1c20-0199-47f2-f210-bf63dfc3c6a1"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Number of parameters: 6442\n","Train: [0/60000 (0%)]\tLoss: 2.386864\n","Train: [6400/60000 (11%)]\tLoss: 1.653597\n","Train: [12800/60000 (21%)]\tLoss: 1.111556\n","Train: [19200/60000 (32%)]\tLoss: 0.982292\n","Train: [25600/60000 (43%)]\tLoss: 0.803202\n","Train: [32000/60000 (53%)]\tLoss: 0.801217\n","Train: [38400/60000 (64%)]\tLoss: 0.411346\n","Train: [44800/60000 (75%)]\tLoss: 0.797451\n","Train: [51200/60000 (85%)]\tLoss: 0.334394\n","Train: [57600/60000 (96%)]\tLoss: 0.493755\n","\n","Test set: Average loss: 0.4646, Accuracy: 8654/10000 (87%)\n","\n"]}]},{"cell_type":"code","source":["# Training settings\n","n_features = 6 # number of feature maps\n","\n","model_cnn = CNN(input_size, n_features, output_size)\n","model_cnn.to(device)\n","optimizer = optim.SGD(model_cnn.parameters(), lr=0.01, momentum=0.5)\n","print('Number of parameters: {}'.format(get_n_params(model_cnn)))\n","\n","train(model_cnn)\n","test(model_cnn)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"cBRUMoYcMulB","executionInfo":{"status":"ok","timestamp":1689771107462,"user_tz":-480,"elapsed":23328,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"3ce22381-18f5-455f-fc61-0b429d9d38dd"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Number of parameters: 6422\n","Train: [0/60000 (0%)]\tLoss: 2.289876\n","Train: [6400/60000 (11%)]\tLoss: 2.204660\n","Train: [12800/60000 (21%)]\tLoss: 0.579872\n","Train: [19200/60000 (32%)]\tLoss: 0.639865\n","Train: [25600/60000 (43%)]\tLoss: 0.225980\n","Train: [32000/60000 (53%)]\tLoss: 0.379993\n","Train: [38400/60000 (64%)]\tLoss: 0.495267\n","Train: [44800/60000 (75%)]\tLoss: 0.293136\n","Train: [51200/60000 (85%)]\tLoss: 0.289019\n","Train: [57600/60000 (96%)]\tLoss: 0.237290\n","\n","Test set: Average loss: 0.2054, Accuracy: 9328/10000 (93%)\n","\n"]}]},{"cell_type":"code","source":["# torch.randperm 函数，给定参数n，返回一个从0到n-1的随机整数排列\n","perm = torch.randperm(784)\n","plt.figure(figsize=(8, 4))\n","for i in range(10):\n","    image, _ = train_loader.dataset.__getitem__(i)\n","    # permute pixels\n","    image_perm = image.view(-1, 28*28).clone()\n","    image_perm = image_perm[:, perm]\n","    image_perm = image_perm.view(-1, 1, 28, 28)\n","    plt.subplot(4, 5, i + 1)\n","    plt.imshow(image.squeeze().numpy(), 'gray')\n","    plt.axis('off')\n","    plt.subplot(4, 5, i + 11)\n","    plt.imshow(image_perm.squeeze().numpy(), 'gray')\n","    plt.axis('off')\n","# 对图像的像素进行打乱并展示"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":345},"id":"rpo2jtuPNIWM","executionInfo":{"status":"ok","timestamp":1689771348973,"user_tz":-480,"elapsed":1040,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"3f15aecb-9d5a-43f8-9208-8fb32012567f"},"execution_count":null,"outputs":[{"output_type":"display_data","data":{"text/plain":["<Figure size 800x400 with 20 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["# 对每个 batch 里的数据，打乱像素顺序的函数\n","def perm_pixel(data, perm):\n","    # 转化为二维矩阵\n","    data_new = data.view(-1, 28*28)\n","    # 打乱像素顺序\n","    data_new = data_new[:, perm]\n","    # 恢复为原来4维的 tensor\n","    data_new = data_new.view(-1, 1, 28, 28)\n","    return data_new\n","\n","#进行数据增强\n","\n","# 训练函数\n","def train_perm(model, perm):\n","    model.train()\n","    for batch_idx, (data, target) in enumerate(train_loader):\n","        data, target = data.to(device), target.to(device)\n","        # 像素打乱顺序\n","        data = perm_pixel(data, perm)\n","\n","        optimizer.zero_grad()\n","        output = model(data)\n","        loss = F.nll_loss(output, target)\n","        loss.backward()\n","        optimizer.step()\n","        if batch_idx % 100 == 0:\n","            print('Train: [{}/{} ({:.0f}%)]\\tLoss: {:.6f}'.format(\n","                batch_idx * len(data), len(train_loader.dataset),\n","                100. * batch_idx / len(train_loader), loss.item()))\n","\n","# 测试函数\n","def test_perm(model, perm):\n","    model.eval()\n","    test_loss = 0\n","    correct = 0\n","    for data, target in test_loader:\n","        data, target = data.to(device), target.to(device)\n","\n","        # 像素打乱顺序\n","        data = perm_pixel(data, perm)\n","\n","        output = model(data)\n","        test_loss += F.nll_loss(output, target, reduction='sum').item()\n","        pred = output.data.max(1, keepdim=True)[1]\n","        correct += pred.eq(target.data.view_as(pred)).cpu().sum().item()\n","\n","    test_loss /= len(test_loader.dataset)\n","    accuracy = 100. * correct / len(test_loader.dataset)\n","    print('\\nTest set: Average loss: {:.4f}, Accuracy: {}/{} ({:.0f}%)\\n'.format(\n","        test_loss, correct, len(test_loader.dataset),\n","        accuracy))"],"metadata":{"id":"h-WN1uO2OIK4"},"execution_count":null,"outputs":[]},{"cell_type":"code","source":["perm = torch.randperm(784)\n","n_hidden = 8 # number of hidden units\n","\n","model_fnn = FC2Layer(input_size, n_hidden, output_size)\n","model_fnn.to(device)\n","optimizer = optim.SGD(model_fnn.parameters(), lr=0.01, momentum=0.5)\n","print('Number of parameters: {}'.format(get_n_params(model_fnn)))\n","\n","train_perm(model_fnn, perm)\n","test_perm(model_fnn, perm)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"hpiZseeJONyv","executionInfo":{"status":"ok","timestamp":1689771528490,"user_tz":-480,"elapsed":19195,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"17c17309-bdc8-4b7d-bd4e-316b97c0d898"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Number of parameters: 6442\n","Train: [0/60000 (0%)]\tLoss: 2.316237\n","Train: [6400/60000 (11%)]\tLoss: 1.721343\n","Train: [12800/60000 (21%)]\tLoss: 1.113923\n","Train: [19200/60000 (32%)]\tLoss: 0.652167\n","Train: [25600/60000 (43%)]\tLoss: 0.621853\n","Train: [32000/60000 (53%)]\tLoss: 1.067377\n","Train: [38400/60000 (64%)]\tLoss: 0.528540\n","Train: [44800/60000 (75%)]\tLoss: 0.402953\n","Train: [51200/60000 (85%)]\tLoss: 0.390968\n","Train: [57600/60000 (96%)]\tLoss: 0.937818\n","\n","Test set: Average loss: 0.4544, Accuracy: 8664/10000 (87%)\n","\n"]}]},{"cell_type":"code","source":["perm = torch.randperm(784)\n","n_features = 6 # number of feature maps\n","\n","model_cnn = CNN(input_size, n_features, output_size)\n","model_cnn.to(device)\n","optimizer = optim.SGD(model_cnn.parameters(), lr=0.01, momentum=0.5)\n","print('Number of parameters: {}'.format(get_n_params(model_cnn)))\n","\n","train_perm(model_cnn, perm)\n","test_perm(model_cnn, perm)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"VU3S29auOk3G","executionInfo":{"status":"ok","timestamp":1689771559847,"user_tz":-480,"elapsed":21356,"user":{"displayName":"宫传政","userId":"05088447437342862356"}},"outputId":"f79bfcc6-ab90-418b-b364-36d6172710a6"},"execution_count":null,"outputs":[{"output_type":"stream","name":"stdout","text":["Number of parameters: 6422\n","Train: [0/60000 (0%)]\tLoss: 2.305153\n","Train: [6400/60000 (11%)]\tLoss: 2.276868\n","Train: [12800/60000 (21%)]\tLoss: 2.233987\n","Train: [19200/60000 (32%)]\tLoss: 2.063659\n","Train: [25600/60000 (43%)]\tLoss: 1.503521\n","Train: [32000/60000 (53%)]\tLoss: 1.329841\n","Train: [38400/60000 (64%)]\tLoss: 0.880178\n","Train: [44800/60000 (75%)]\tLoss: 1.017264\n","Train: [51200/60000 (85%)]\tLoss: 0.730972\n","Train: [57600/60000 (96%)]\tLoss: 0.446689\n","\n","Test set: Average loss: 0.5668, Accuracy: 8304/10000 (83%)\n","\n"]}]},{"cell_type":"code","source":[],"metadata":{"id":"G0bZeb9sO3Ox"},"execution_count":null,"outputs":[]}]}